Li Taiyong, Shi Jiayi, Li Xinsheng, Wu Jiang, Pan Fan
School of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, China.
College of Computer Science, Sichuan University, Chengdu 610064, China.
Entropy (Basel). 2019 Mar 24;21(3):319. doi: 10.3390/e21030319.
Image encryption is one of the essential tasks in image security. In this paper, we propose a novel approach that integrates a hyperchaotic system, pixel-level Dynamic Filtering, DNA computing, and operations on 3D Latin Cubes, namely DFDLC, for image encryption. Specifically, the approach consists of five stages: (1) a newly proposed 5D hyperchaotic system with two positive Lyapunov exponents is applied to generate a pseudorandom sequence; (2) for each pixel in an image, a filtering operation with different templates called dynamic filtering is conducted to diffuse the image; (3) DNA encoding is applied to the diffused image and then the DNA-level image is transformed into several 3D DNA-level cubes; (4) Latin cube is operated on each DNA-level cube; and (5) all the DNA cubes are integrated and decoded to a 2D cipher image. Extensive experiments are conducted on public testing images, and the results show that the proposed DFDLC can achieve state-of-the-art results in terms of several evaluation criteria.
图像加密是图像安全中的一项重要任务。在本文中，我们提出了一种新颖的方法，该方法集成了超混沌系统、像素级动态滤波、DNA计算以及对三维拉丁立方体的操作，即DFDLC，用于图像加密。具体而言，该方法包括五个阶段：(1) 应用一种新提出的具有两个正李雅普诺夫指数的五维超混沌系统来生成伪随机序列；(2) 对图像中的每个像素进行一种使用不同模板的滤波操作，称为动态滤波，以扩散图像；(3) 对扩散后的图像应用DNA编码，然后将DNA级图像转换为几个三维DNA级立方体；(4) 对每个DNA级立方体进行拉丁立方体操作；(5) 将所有DNA立方体整合并解码为二维加密图像。对公开测试图像进行了大量实验，结果表明，所提出的DFDLC在几个评估标准方面能够取得领先成果
